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beanz
View on CRAN: Click
here
Download and install beanz package within the R console
Install from CRAN:
install.packages("beanz")
Install from Github:
library("remotes")
install_github("cran/beanz")
Install by package version:
library("remotes")
install_version("beanz", "3.1")
Attach the package and use:
library("beanz")
Maintained by
Chenguang Wang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-04
Latest Update: 2023-08-09
Description:
It is vital to assess the heterogeneity of treatment effects
(HTE) when making health care decisions for an individual patient or a group
of patients. Nevertheless, it remains challenging to evaluate HTE based
on information collected from clinical studies that are often designed and
conducted to evaluate the efficacy of a treatment for the overall population.
The Bayesian framework offers a principled and flexible approach to estimate
and compare treatment effects across subgroups of patients defined by their
characteristics. This package allows users to explore a wide range of Bayesian
HTE analysis models, and produce posterior inferences about HTE. See Wang et al.
(2018) for further details.
How to cite:
Chenguang Wang (2016). beanz: Bayesian Analysis of Heterogeneous Treatment Effect. R package version 3.1, https://cran.r-project.org/web/packages/beanz. Accessed 02 Feb. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for beanz
Functions, R codes and Examples using
the beanz R package
Some associated functions: beanz-package . bzCallStan . bzComp . bzGailSimon . bzGetSubgrp . bzGetSubgrpRaw . bzPredSubgrp . bzRptTbl . bzShiny . bzSummary . solvd.sub .
Some associated R codes: beanz_data.R . beanz_package.R . beanz_present.R . beanz_shiny.R . beanz_stan.R . beanz_subgrp.R . stanmodels.R . zzz.R . Full beanz package functions and examples
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